Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nisar, Malik Zohaib"'
This paper proposes a composite inner-product computation unit based on left-to-right (LR) arithmetic for the acceleration of convolution neural networks (CNN) on hardware. The efficacy of the proposed L2R-CIPU method has been shown on the VGG-16 net
Externí odkaz:
http://arxiv.org/abs/2406.00360
We propose a Digit-Serial Left-tO-righT (DSLOT) arithmetic based processing technique called DSLOT-NN with aim to accelerate inference of the convolution operation in the deep neural networks (DNNs). The proposed work has the ability to assess and te
Externí odkaz:
http://arxiv.org/abs/2309.06019
Autor:
Siddique, Taha Hasan Masood, Sami, Iqra, Nisar, Malik Zohaib, Naeem, Mashal, Karim, Abid, Usman, Muhammad
In the recent years of industrial revolution, 3D printing has shown to grow as an expanding field of new applications. The low cost solutions and short time to market makes it a favorable candidate to be utilized in the dynamic fields of engineering.
Externí odkaz:
http://arxiv.org/abs/1911.10758
Publikováno v:
Journal of Supercomputing; Jan2025, Vol. 81 Issue 1, p1-27, 27p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.